I strongly prefer `dplyr` and the R stack for table processing and visualization.

But, recently I’ve been working with much larger scale data than R can handle (thanks to R’s base int32 limitation) and have been needing to use Python instead.

Polars feels much more intuitive and similar to `dplyr` to me for table processing than Pandas does.

I often ask my LLM of choice to “translate this dplyr call to Polars” as I’ve been learning the Polars syntax.